Evidence map›Paper›PMID 41143479›Full record

ArticleTranslational vision science & technology2025

A Method for Peripapillary Retinal Vessel Tortuosity Measurement and Its Clinical Correspondence.

Yuhang Zou, Farzan Abdolahi, Jeffrey A Gluckstein, Kimberly K Gokoffski, Rutuja Zinjal, Anthony E Felder, Mahnaz Shahidi

Abstract read
In one paragraph

Article in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Association of papilledema severity with retinal vessel tortuosity in idiopathic intracranial hypertension.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yuhang ZouDepartment of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Farzan AbdolahiDepartment of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Jeffrey A GlucksteinDepartment of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Kimberly K GokoffskiDepartment of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Rutuja ZinjalDepartment of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Anthony E FelderRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, USA.
Mahnaz ShahidiDepartment of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.

Funding

Ophthalmic Therapeutics Engineering CoreP30EY029220 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Mahnaz Shahidi · 2018 to 2026
$6.5M
Imaging of Retinal Oxygen Metabolism in Diabetic RetinopathyR01EY030115 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHAHIDI, MAHNAZ · 2020 to 2024
$2.0M
NEI NIH HHS P30 EY029220NEI NIH HHS R01 EY030115
6 · The paper itself

Abstract

Purpose: Increased retinal vessel tortuosity is observed clinically and evaluated qualitatively in retinal diseases and intracranial hypertension. The purpose of the current study is to report a new method for quantitative measurement of peripapillary retinal vessel tortuosity (RVT) based on the first-order derivative of vessel centerlines. Methods: A total of 67 retinal vessels from images of three healthy (control) and three congenital venous tortuosity (pathology) eyes were evaluated. RVT was determined by vessel segmentation, centerline extraction, and first-order derivative calculation. The method was validated using sinusoidal functions with variable frequency and amplitude to simulate vessels. The reproducibility and performance of the method for detection of pathologies were established in human vessels. The association between clinical and RVT ranking of vessel tortuosity was determined. The relative ranking by clinical assessment was compared to the results by our method and curvature-based methods in selected vessels. Results: RVT values increased with both the frequency and amplitude of the simulated vessels. RVT measurements had a high interobserver reproducibility (intraclass correlation coefficient [ICC] = 0.92) and differentiated control and pathology vessels (P < 0.001). Clinical vessel tortuosity ranking was in excellent agreement with RVT ranking, similar to the agreement with ranking by curvature-based methods (ICC ≥ 0.88). Furthermore, measurements of RVT were more consistent with visual inspection than values obtained by curvature-based methods in selected simulated and human vessels. Conclusions: The application of this method has the potential to detect and monitor retinal vessel tortuosity changes due to ocular and systemic diseases. Translational Relevance: Quantitative and reproducible measurements of retinal vessel tortuosity that are consistent with clinical evaluation are needed for detection and monitoring of alterations due to ocular and systemic disorders to improve clinical care.

Indexed as

Retinal DiseasesRetinal VesselsAdultFemaleHumansMaleMiddle AgedReproducibility of Results

Identifiers

PMID41143479
PMCPMC12574746

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.